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Data Engineering Jobs in Millburn, NJ (NOW HIRING)

Data Engineering Lead

Manhattan, NY ยท On-site

$150 - $200/hr

Data Engineering Lead About Patlytics: Patlytics is the fastest-growing AI-native patent intelligence platform, transforming how IP is protected and monetized at scale. Our advanced LLMs and ...

Data Engineering Lead About Patlytics: Patlytics is the fastest-growing AI-native patent intelligence platform, transforming how IP is protected and monetized at scale. Our advanced LLMs and ...

As a member of the Data Engineering team, you'll collaborate across disciplines, partnering with engineering, product, business, and marketing teams to deliver reliable data infrastructure that ...

Data Engineering Senior Manager

New York, NY ยท On-site

$220K - $230K/yr

The Data Engineering team at Imprint builds the foundation that enables teams and systems across the company to understand, trust, and use data. We own the core data platform, development patterns ...

The Data Engineering team at Imprint builds the foundation that enables teams and systems across the company to understand, trust, and use data. We own the core data platform, development patterns ...

Head of Data Engineering

Manhattan, NY ยท On-site

$200 - $250/hr

We view Data Engineering as a specialized discipline of Software Engineering, not a traditional analytics or database-administration function. We are looking for a systems-minded leader with strong ...

Head of Data Engineering

Brooklyn, NY ยท Remote

$230K - $260K/yr

We view Data Engineering as a specialized discipline of Software Engineering, not a traditional analytics or database-administration function. We are looking for a systems-minded leader with strong ...

Head of Data Engineering

New York, NY ยท Remote

$230K - $260K/yr

We view Data Engineering as a specialized discipline of Software Engineering, not a traditional analytics or database-administration function. We are looking for a systems-minded leader with strong ...

AVP, Data Engineering

Warren, NJ ยท On-site

$118K - $142K/yr

AVP, Data Engineering Company: Everest Global Services, Inc. Job Category: Technology About Everest: Everest is a global leader in risk management, rooted in a rich, 50+ year heritage of enabling ...

AVP, Data Engineering

Warren, NJ ยท On-site

$118K - $142K/yr

AVP, Data Engineering Company: Everest Global Services, Inc. Job Category: Technology About Everest: Everest is a global leader in risk management, rooted in a rich, 50+ year heritage of enabling ...

Senior Manager, Data Engineering

New York, NY ยท On-site

$212K - $265K/yr

About the Role As Senior Manager, Data Engineering, you will define and lead the technical strategy for Headway's data infrastructure. The team's mission is to build and maintain the reliable ...

AVP, Data Engineering

Warren, NJ ยท On-site

$118K - $142K/yr

AVP, Data Engineering Company: Everest Global Services, Inc. Job Category: Technology About Everest: Everest is a global leader in risk management, rooted in a rich, 50+ year heritage of enabling ...

Showing results 41-60

Data Engineering information

See Millburn, NJ salary details

$46.1K

$165.5K

$244.2K

How much do data engineering jobs pay per year?

As of Sep 7, 2026, the average yearly pay for data engineering in Millburn, NJ is $165,485.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,900.00 and $170,500.00 per year, depending on experience, location, and employer.

What is data engineering?

A Data Engineering job involves designing, building, and maintaining the infrastructure that enables efficient data collection, storage, and processing. Data Engineers develop pipelines to transform raw data into usable formats for analytics and machine learning. They work with databases, big data technologies, and cloud platforms to ensure data is accessible and reliable. Their role is crucial for organizations to make data-driven decisions and optimize business processes.

What does a data engineer do?

Data Engineers regularly design, build, and maintain scalable data pipelines to support analytics and business intelligence teams. Their daily tasks often involve working with large datasets, optimizing data storage, ensuring data integrity, and troubleshooting data-related issues. Collaboration with data scientists, analysts, and software engineers is common to align on data requirements and improve workflows. You may also participate in regular code reviews and contribute to the ongoing improvement of data infrastructure. This role is ideal for problem-solvers who enjoy working with both code and complex systems in a collaborative, fast-paced environment.

What skills and qualifications are needed to thrive as a data engineer?

To thrive in Data Engineering, you need a solid background in programming (such as Python, Java, or Scala), data modeling, and database management, typically supported by a degree in computer science or a related field. Familiarity with ETL tools, cloud platforms like AWS or Azure, big data frameworks (e.g., Hadoop, Spark), and relevant certifications is highly valued. Strong problem-solving abilities, effective communication, and the ability to work collaboratively across teams are key soft skills for this role. These attributes are crucial for designing robust data pipelines, ensuring data quality, and enabling organizations to make data-driven decisions efficiently.

Are data engineers still in demand?

Data engineers are currently in high demand due to the increasing reliance on data-driven decision making and the growth of big data technologies. They typically need skills in SQL, cloud platforms, and tools like Apache Spark or Hadoop, and job opportunities are expected to remain strong as organizations continue to prioritize data infrastructure.

What cities near Millburn, NJ are hiring for Data Engineering jobs?

Cities near Millburn, NJ with the most Data Engineering job openings:

Infographic showing various Data Engineering job openings in Millburn, NJ as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 16% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $165,485 per year, or $79.6 per hour.

Data Engineering Lead

Patlytics, Inc.

Manhattan, NY โ€ข On-site

$150 - $200/hr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 10 days ago


Job description

Data Engineering Lead About Patlytics:

Patlytics is the fastest-growing AI-native patent intelligence platform, transforming how IP is protected and monetized at scale. Our advanced LLMs and generative AI engineโ€”custom-built for intellectual propertyโ€”power every phase of the patent workflow from invention disclosure through litigation, delivering citation-backed insights with unprecedented accuracy and speed.

Fresh off our $40M Series B โ€‘ led by SignalFire, with participation from N47, Myriad Venture Partners, Liquid 2 Ventures, BAM Corner Point, Alumni Ventures, Antiportfolio Ventures and Relativity- allows us to triple down on the product, accelerate growth globally, hire future missionโ€‘aligned colleagues, and to continue redefining what is possible for our customers. โ€‘ we're scaling fast across product, engineering, and goโ€‘toโ€‘market. If you want to build at the inflection point, this is it.

With teams across the globe we're building a global company fueled by exceptional talent and bold ideas. Our rapid expansion is driven by people who bring entrepreneurial energy, intellectual curiosity, and a shared commitment to setting the global standard for AIโ€‘powered IP intelligence. We're creating a culture where diverse perspectives shape breakthrough innovation and every voice contributes to transforming how the world protects ideas.

We hire for trajectory, not just credentials. If you're 70% of this list and hungry to close the gap, apply.

The Role:

As the Data Engineering Lead, you'll own our data warehouse and everything around it โ€” the pipelines that feed it, the models built on top of it, the metering our billing depends on, and the reporting the company makes decisions from. This role is heavy on backend and infrastructure, specialized in data.

It's handsโ€‘on and it's a lead role, and both halves are real. You'll be writing production code and setting the architecture, and you'll grow into leading the team we build behind it. If you want to own a layer of the company outright rather than pick up tickets on someone else's roadmap, this is that job.

As the Data Engineering Lead, youโ€™ll:
  • Own the design, build, and operation of our data warehouse and transformation layer, from schema design through performance and cost

  • Build the ingestion pipelines that feed it, and own their reliability

  • Design and own the data models behind usage metering and billing

  • Stand up and maintain BI and reporting so leadership, product and GTM can answer their own questions instead of filing a ticket and waiting

  • Set the standards for data quality, testing, documentation, and monitoring, and hold the bar on them as the surface area grows

  • Work directly with CTO on what we instrument and why, and turn vague business questions into models that actually answer them

About you:
  • Proven experience building and operating a production data warehouse and transformation layer: Snowflake, dbt, Redshift, or comparable stacks

  • Handsโ€‘on experience with BI and visualization tooling, including the data models that sit beneath it and the metric definitions the business relies on

  • Prior experience supporting a billing system, with a clear understanding of the downstream impact when billing data is inaccurate

  • Strong production experience in Python, alongside advanced SQL. This is a handsโ€‘on engineering role

  • A track record of carrying problems from ambiguity through to resolution, and the appetite for the scope this role carries

  • Interest in leading through technical direction and influence rather than headcount

  • A product mindset โ€” you think about how data will be used, and partner with product and business stakeholders to define the right questions before building the answers

Bonus:
  • Frontโ€‘end experience for building internal tools and reporting interfaces

Why Patlytics
  • The opportunity to work at the intersection of AI and law, shaping how the world's most important IP decisions get made

  • Opportunity to join a rocket ship in the earliest stages of global scaleโ€‘up

  • Global exposure: deal with the world's top law firms, tech giants, and innovationโ€‘driven corporations

  • No bureaucracy. No ceiling. Just impact, ownership, and velocity.

We offer:
  • Comprehensive health coverage: Medical, dental, vision, plus FSA, commuter benefits, and health advocacy through Rightway

  • Mental health and wellness support: Access to Spring Health and Headspace, plus "Mental Escape Days" to recharge when you need it

  • Immediate 401(k) enrollment with no waiting period to start saving for your future

  • Generous time off: Unlimited PTO, 12 paid company holidays, plus a full week off during our Holiday Break

  • Familyโ€‘first policies: Paid parental leave to support you during life's biggest moments

  • Invest in yourself: Professional development budget, gym membership stipend, and learning opportunities

  • Celebrate what matters: Birthday and work anniversary recognition, plus generous employee referral bonuses

  • Hybrid work environment (New York City), while staying connected with a passionate and talented team

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